





"""simple docstring"""






import itertools
import json
import os
import unittest

from transformers import AddedToken, LongformerTokenizer, LongformerTokenizerFast
from transformers.models.longformer.tokenization_longformer import VOCAB_FILES_NAMES
from transformers.testing_utils import require_tokenizers, slow

from ...test_tokenization_common import TokenizerTesterMixin




@require_tokenizers
class 					__lowercase      (      _UpperCamelCase ,   unittest.TestCase				):







					'''simple docstring'''




					__lowerCAmelCase	=	LongformerTokenizer
					__lowerCAmelCase	=	True
					__lowerCAmelCase	=	LongformerTokenizerFast
					__lowerCAmelCase	=	True







					def 			_lowerCamelCase		(    self  ):
									super().setUp()

									# Adapted from Sennrich et al. 2015 and https://github.com/rsennrich/subword-nmt
									__a			:    Dict      							=	[
									    '''l''',
									    '''o''',
									    '''w''',
									    '''e''',
									    '''r''',
									    '''s''',
									    '''t''',
									    '''i''',
									    '''d''',
									    '''n''',
									    '''\u0120''',
									    '''\u0120l''',
									    '''\u0120n''',
									    '''\u0120lo''',
									    '''\u0120low''',
									    '''er''',
									    '''\u0120lowest''',
									    '''\u0120newer''',
									    '''\u0120wider''',
									    '''<unk>''',
									]
									__a			:    List[str]      							=	dict(zip(_UpperCAmelCase						,      range(len(_UpperCAmelCase  )  )  )  )
									__a			:    Optional[int]      							=	['''#version: 0.2''', '''\u0120 l''', '''\u0120l o''', '''\u0120lo w''', '''e r''', '''''']
									__a			:    List[str]      							=	{'''unk_token''': '''<unk>'''}

									__a			:    Optional[Any]      							=	os.path.join(self.tmpdirname						,      VOCAB_FILES_NAMES['''vocab_file''']  )
									__a			:    str      							=	os.path.join(self.tmpdirname						,      VOCAB_FILES_NAMES['''merges_file''']  )
									with open(self.vocab_file						,      '''w'''						,      encoding='''utf-8'''  ) as fp:
													fp.write(json.dumps(_UpperCAmelCase  ) + '''\n'''  )
									with open(self.merges_file						,      '''w'''						,      encoding='''utf-8'''  ) as fp:
													fp.write('''\n'''.join(_UpperCAmelCase  )  )







					def 			_lowerCamelCase		(    self						,      **_UpperCAmelCase  ):
									kwargs.update(self.special_tokens_map  )
									return self.tokenizer_class.from_pretrained(self.tmpdirname						,      **_UpperCAmelCase  )







					def 			_lowerCamelCase		(    self						,      **_UpperCAmelCase  ):
									kwargs.update(self.special_tokens_map  )
									return self.rust_tokenizer_class.from_pretrained(self.tmpdirname						,      **_UpperCAmelCase  )







					def 			_lowerCamelCase		(    self						,      _UpperCAmelCase  ):
									__a			:    List[str]      							=	'''lower newer'''
									__a			:    List[Any]      							=	'''lower newer'''
									return input_text, output_text







					def 			_lowerCamelCase		(    self  ):
									__a			:    Dict      							=	self.tokenizer_class(self.vocab_file						,      self.merges_file						,      **self.special_tokens_map  )
									__a			:    Tuple      							=	'''lower newer'''
									__a			:    Dict      							=	['''l''', '''o''', '''w''', '''er''', '''\u0120''', '''n''', '''e''', '''w''', '''er''']
									__a			:    Union[str, Any]      							=	tokenizer.tokenize(_UpperCAmelCase  )  # , add_prefix_space=True)
									self.assertListEqual(_UpperCAmelCase						,      _UpperCAmelCase  )

									__a			:    Optional[int]      							=	tokens + [tokenizer.unk_token]
									__a			:    Any      							=	[0, 1, 2, 15, 10, 9, 3, 2, 15, 19]
									self.assertListEqual(tokenizer.convert_tokens_to_ids(_UpperCAmelCase  )						,      _UpperCAmelCase  )







					def 			_lowerCamelCase		(    self  ):
									__a			:    Tuple      							=	self.get_tokenizer()

									self.assertListEqual(tokenizer.encode('''Hello world!'''						,      add_special_tokens=_UpperCAmelCase  )						,      [0, 31414, 232, 328, 2]  )
									self.assertListEqual(
									    tokenizer.encode('''Hello world! cécé herlolip 418'''						,      add_special_tokens=_UpperCAmelCase  )						,      [0, 31414, 232, 328, 740, 1140, 12695, 69, 46078, 1588, 2]						,      )







					@slow
					def 			_lowerCamelCase		(    self  ):
									__a			:    Dict      							=	self.tokenizer_class.from_pretrained('''allenai/longformer-base-4096'''  )

									__a			:    Any      							=	tokenizer.encode('''sequence builders'''						,      add_special_tokens=_UpperCAmelCase  )
									__a			:    List[Any]      							=	tokenizer.encode('''multi-sequence build'''						,      add_special_tokens=_UpperCAmelCase  )

									__a			:    str      							=	tokenizer.encode(
									    '''sequence builders'''						,      add_special_tokens=_UpperCAmelCase						,      add_prefix_space=_UpperCAmelCase  )
									__a			:    Tuple      							=	tokenizer.encode(
									    '''sequence builders'''						,      '''multi-sequence build'''						,      add_special_tokens=_UpperCAmelCase						,      add_prefix_space=_UpperCAmelCase  )

									__a			:    Optional[Any]      							=	tokenizer.build_inputs_with_special_tokens(_UpperCAmelCase  )
									__a			:    Dict      							=	tokenizer.build_inputs_with_special_tokens(_UpperCAmelCase						,      _UpperCAmelCase  )

									assert encoded_sentence == encoded_text_from_decode
									assert encoded_pair == encoded_pair_from_decode







					def 			_lowerCamelCase		(    self  ):
									__a			:    Tuple      							=	self.get_tokenizer()

									__a			:    Union[str, Any]      							=	'''Encode this sequence.'''
									__a			:    List[str]      							=	tokenizer.byte_encoder[''' '''.encode('''utf-8'''  )[0]]

									# Testing encoder arguments
									__a			:    Any      							=	tokenizer.encode(_UpperCAmelCase						,      add_special_tokens=_UpperCAmelCase						,      add_prefix_space=_UpperCAmelCase  )
									__a			:    List[str]      							=	tokenizer.convert_ids_to_tokens(encoded[0]  )[0]
									self.assertNotEqual(_UpperCAmelCase						,      _UpperCAmelCase  )

									__a			:    Union[str, Any]      							=	tokenizer.encode(_UpperCAmelCase						,      add_special_tokens=_UpperCAmelCase						,      add_prefix_space=_UpperCAmelCase  )
									__a			:    int      							=	tokenizer.convert_ids_to_tokens(encoded[0]  )[0]
									self.assertEqual(_UpperCAmelCase						,      _UpperCAmelCase  )

									tokenizer.add_special_tokens({'''bos_token''': '''<s>'''}  )
									__a			:    List[str]      							=	tokenizer.encode(_UpperCAmelCase						,      add_special_tokens=_UpperCAmelCase  )
									__a			:    Optional[Any]      							=	tokenizer.convert_ids_to_tokens(encoded[1]  )[0]
									self.assertNotEqual(_UpperCAmelCase						,      _UpperCAmelCase  )

									# Testing spaces after special tokens
									__a			:    Dict      							=	'''<mask>'''
									tokenizer.add_special_tokens(
									    {'''mask_token''': AddedToken(_UpperCAmelCase						,      lstrip=_UpperCAmelCase						,      rstrip=_UpperCAmelCase  )}  )  # mask token has a left space
									__a			:    Any      							=	tokenizer.convert_tokens_to_ids(_UpperCAmelCase  )

									__a			:    Optional[Any]      							=	'''Encode <mask> sequence'''
									__a			:    Union[str, Any]      							=	'''Encode <mask>sequence'''

									__a			:    Tuple      							=	tokenizer.encode(_UpperCAmelCase  )
									__a			:    int      							=	encoded.index(_UpperCAmelCase  )
									__a			:    int      							=	tokenizer.convert_ids_to_tokens(encoded[mask_loc + 1]  )[0]
									self.assertEqual(_UpperCAmelCase						,      _UpperCAmelCase  )

									__a			:    Union[str, Any]      							=	tokenizer.encode(_UpperCAmelCase  )
									__a			:    Any      							=	encoded.index(_UpperCAmelCase  )
									__a			:    Any      							=	tokenizer.convert_ids_to_tokens(encoded[mask_loc + 1]  )[0]
									self.assertNotEqual(_UpperCAmelCase						,      _UpperCAmelCase  )







					def 			_lowerCamelCase		(    self  ):
									pass







					def 			_lowerCamelCase		(    self  ):
									for tokenizer, pretrained_name, kwargs in self.tokenizers_list:
													with self.subTest(f"""{tokenizer.__class__.__name__} ({pretrained_name})"""  ):
																	__a			:    Dict      							=	self.rust_tokenizer_class.from_pretrained(_UpperCAmelCase						,      **_UpperCAmelCase  )
																	__a			:    List[Any]      							=	self.tokenizer_class.from_pretrained(_UpperCAmelCase						,      **_UpperCAmelCase  )
																	__a			:    Optional[Any]      							=	'''A, <mask> AllenNLP sentence.'''
																	__a			:    Tuple      							=	tokenizer_r.encode_plus(_UpperCAmelCase						,      add_special_tokens=_UpperCAmelCase						,      return_token_type_ids=_UpperCAmelCase  )
																	__a			:    Union[str, Any]      							=	tokenizer_p.encode_plus(_UpperCAmelCase						,      add_special_tokens=_UpperCAmelCase						,      return_token_type_ids=_UpperCAmelCase  )

																	# token_type_ids should put 0 everywhere
																	self.assertEqual(sum(tokens_r['''token_type_ids''']  )						,      sum(tokens_p['''token_type_ids''']  )  )

																	# attention_mask should put 1 everywhere, so sum over length should be 1
																	self.assertEqual(
																	    sum(tokens_r['''attention_mask''']  ) / len(tokens_r['''attention_mask''']  )						,      sum(tokens_p['''attention_mask''']  ) / len(tokens_p['''attention_mask''']  )						,      )

																	__a			:    int      							=	tokenizer_r.convert_ids_to_tokens(tokens_r['''input_ids''']  )
																	__a			:    Any      							=	tokenizer_p.convert_ids_to_tokens(tokens_p['''input_ids''']  )

																	# Rust correctly handles the space before the mask while python doesnt
																	self.assertSequenceEqual(tokens_p['''input_ids''']						,      [0, 250, 6, 50264, 3823, 487, 21992, 3645, 4, 2]  )
																	self.assertSequenceEqual(tokens_r['''input_ids''']						,      [0, 250, 6, 50264, 3823, 487, 21992, 3645, 4, 2]  )

																	self.assertSequenceEqual(
																	    _UpperCAmelCase						,      ['''<s>''', '''A''', ''',''', '''<mask>''', '''ĠAllen''', '''N''', '''LP''', '''Ġsentence''', '''.''', '''</s>''']  )
																	self.assertSequenceEqual(
																	    _UpperCAmelCase						,      ['''<s>''', '''A''', ''',''', '''<mask>''', '''ĠAllen''', '''N''', '''LP''', '''Ġsentence''', '''.''', '''</s>''']  )







					def 			_lowerCamelCase		(    self  ):
									for trim_offsets, add_prefix_space in itertools.product([True, False]						,      repeat=2  ):
													__a			:    List[str]      							=	self.rust_tokenizer_class.from_pretrained(
													    self.tmpdirname						,      use_fast=_UpperCAmelCase						,      add_prefix_space=_UpperCAmelCase						,      trim_offsets=_UpperCAmelCase  )

													__a			:    Optional[int]      							=	json.loads(tokenizer_r.backend_tokenizer.pre_tokenizer.__getstate__()  )
													__a			:    List[str]      							=	json.loads(tokenizer_r.backend_tokenizer.post_processor.__getstate__()  )

													self.assertEqual(pre_tokenizer_state['''add_prefix_space''']						,      _UpperCAmelCase  )

													self.assertEqual(post_processor_state['''add_prefix_space''']						,      _UpperCAmelCase  )
													self.assertEqual(post_processor_state['''trim_offsets''']						,      _UpperCAmelCase  )







					def 			_lowerCamelCase		(    self  ):
									# Test which aims to verify that the offsets are well adapted to the argument `add_prefix_space` and
									# `trim_offsets`
									for tokenizer, pretrained_name, kwargs in self.tokenizers_list:
													with self.subTest(f"""{tokenizer.__class__.__name__} ({pretrained_name})"""  ):
																	__a			:    Any      							=	'''hello'''  # `hello` is a token in the vocabulary of `pretrained_name`
																	__a			:    Union[str, Any]      							=	f"""{text_of_1_token} {text_of_1_token}"""

																	__a			:    Union[str, Any]      							=	self.rust_tokenizer_class.from_pretrained(
																	    _UpperCAmelCase						,      use_fast=_UpperCAmelCase						,      add_prefix_space=_UpperCAmelCase						,      trim_offsets=_UpperCAmelCase  )
																	__a			:    List[Any]      							=	tokenizer_r(_UpperCAmelCase						,      return_offsets_mapping=_UpperCAmelCase						,      add_special_tokens=_UpperCAmelCase  )
																	self.assertEqual(encoding.offset_mapping[0]						,      (0, len(_UpperCAmelCase  ))  )
																	self.assertEqual(
																	    encoding.offset_mapping[1]						,      (len(_UpperCAmelCase  ) + 1, len(_UpperCAmelCase  ) + 1 + len(_UpperCAmelCase  ))						,      )

																	__a			:    Optional[Any]      							=	self.rust_tokenizer_class.from_pretrained(
																	    _UpperCAmelCase						,      use_fast=_UpperCAmelCase						,      add_prefix_space=_UpperCAmelCase						,      trim_offsets=_UpperCAmelCase  )
																	__a			:    Any      							=	tokenizer_r(_UpperCAmelCase						,      return_offsets_mapping=_UpperCAmelCase						,      add_special_tokens=_UpperCAmelCase  )
																	self.assertEqual(encoding.offset_mapping[0]						,      (0, len(_UpperCAmelCase  ))  )
																	self.assertEqual(
																	    encoding.offset_mapping[1]						,      (len(_UpperCAmelCase  ) + 1, len(_UpperCAmelCase  ) + 1 + len(_UpperCAmelCase  ))						,      )

																	__a			:    str      							=	self.rust_tokenizer_class.from_pretrained(
																	    _UpperCAmelCase						,      use_fast=_UpperCAmelCase						,      add_prefix_space=_UpperCAmelCase						,      trim_offsets=_UpperCAmelCase  )
																	__a			:    Any      							=	tokenizer_r(_UpperCAmelCase						,      return_offsets_mapping=_UpperCAmelCase						,      add_special_tokens=_UpperCAmelCase  )
																	self.assertEqual(encoding.offset_mapping[0]						,      (0, len(_UpperCAmelCase  ))  )
																	self.assertEqual(
																	    encoding.offset_mapping[1]						,      (len(_UpperCAmelCase  ), len(_UpperCAmelCase  ) + 1 + len(_UpperCAmelCase  ))						,      )

																	__a			:    List[Any]      							=	self.rust_tokenizer_class.from_pretrained(
																	    _UpperCAmelCase						,      use_fast=_UpperCAmelCase						,      add_prefix_space=_UpperCAmelCase						,      trim_offsets=_UpperCAmelCase  )
																	__a			:    Union[str, Any]      							=	tokenizer_r(_UpperCAmelCase						,      return_offsets_mapping=_UpperCAmelCase						,      add_special_tokens=_UpperCAmelCase  )
																	self.assertEqual(encoding.offset_mapping[0]						,      (0, len(_UpperCAmelCase  ))  )
																	self.assertEqual(
																	    encoding.offset_mapping[1]						,      (len(_UpperCAmelCase  ), len(_UpperCAmelCase  ) + 1 + len(_UpperCAmelCase  ))						,      )

																	__a			:    Optional[Any]      							=	f""" {text}"""

																	# tokenizer_r = self.rust_tokenizer_class.from_pretrained(
																	#     pretrained_name, use_fast=True, add_prefix_space=True, trim_offsets=True
																	# )
																	# encoding = tokenizer_r(text, return_offsets_mapping=True, add_special_tokens=False)
																	# self.assertEqual(encoding.offset_mapping[0], (1, 1 + len(text_of_1_token)))
																	# self.assertEqual(
																	#     encoding.offset_mapping[1],
																	#     (1 + len(text_of_1_token) + 1, 1 + len(text_of_1_token) + 1 + len(text_of_1_token)),
																	# )

																	__a			:    int      							=	self.rust_tokenizer_class.from_pretrained(
																	    _UpperCAmelCase						,      use_fast=_UpperCAmelCase						,      add_prefix_space=_UpperCAmelCase						,      trim_offsets=_UpperCAmelCase  )
																	__a			:    Tuple      							=	tokenizer_r(_UpperCAmelCase						,      return_offsets_mapping=_UpperCAmelCase						,      add_special_tokens=_UpperCAmelCase  )
																	self.assertEqual(encoding.offset_mapping[0]						,      (1, 1 + len(_UpperCAmelCase  ))  )
																	self.assertEqual(
																	    encoding.offset_mapping[1]						,      (1 + len(_UpperCAmelCase  ) + 1, 1 + len(_UpperCAmelCase  ) + 1 + len(_UpperCAmelCase  ))						,      )

																	__a			:    List[Any]      							=	self.rust_tokenizer_class.from_pretrained(
																	    _UpperCAmelCase						,      use_fast=_UpperCAmelCase						,      add_prefix_space=_UpperCAmelCase						,      trim_offsets=_UpperCAmelCase  )
																	__a			:    List[Any]      							=	tokenizer_r(_UpperCAmelCase						,      return_offsets_mapping=_UpperCAmelCase						,      add_special_tokens=_UpperCAmelCase  )
																	self.assertEqual(encoding.offset_mapping[0]						,      (0, 1 + len(_UpperCAmelCase  ))  )
																	self.assertEqual(
																	    encoding.offset_mapping[1]						,      (1 + len(_UpperCAmelCase  ), 1 + len(_UpperCAmelCase  ) + 1 + len(_UpperCAmelCase  ))						,      )

																	__a			:    List[str]      							=	self.rust_tokenizer_class.from_pretrained(
																	    _UpperCAmelCase						,      use_fast=_UpperCAmelCase						,      add_prefix_space=_UpperCAmelCase						,      trim_offsets=_UpperCAmelCase  )
																	__a			:    Union[str, Any]      							=	tokenizer_r(_UpperCAmelCase						,      return_offsets_mapping=_UpperCAmelCase						,      add_special_tokens=_UpperCAmelCase  )
																	self.assertEqual(encoding.offset_mapping[0]						,      (0, 1 + len(_UpperCAmelCase  ))  )
																	self.assertEqual(
																	    encoding.offset_mapping[1]						,      (1 + len(_UpperCAmelCase  ), 1 + len(_UpperCAmelCase  ) + 1 + len(_UpperCAmelCase  ))						,      )

"""simple docstring"""


SCREAMING_SNAKE_CASE			  =  {}



def 						lowerCamelCase__      (				UpperCAmelCase_		,   UpperCAmelCase_		,   UpperCAmelCase_					)->				int:







       """simple docstring"""

       # if we are absent twice, or late 3 consecutive days,
       # no further prize strings are possible
       if late == 3 or absent == 2:
              return 0

       # if we have no days left, and have not failed any other rules,
       # we have a prize string
       if days == 0:
              return 1

       # No easy solution, so now we need to do the recursive calculation

       # First, check if the combination is already in the cache, and
       # if yes, return the stored value from there since we already
       # know the number of possible prize strings from this point on
       UpperCamelCase       			=		(days, absent, late)
       if key in cache:
              return cache[key]

       # now we calculate the three possible ways that can unfold from
       # this point on, depending on our attendance today

       # 1) if we are late (but not absent), the "absent" counter stays as
       # it is, but the "late" counter increases by one
       UpperCamelCase       			=		_calculate(days - 1		,   UpperCAmelCase_		,   late + 1					)

       # 2) if we are absent, the "absent" counter increases by 1, and the
       # "late" counter resets to 0
       UpperCamelCase       			=		_calculate(days - 1		,   absent + 1		,   0					)

       # 3) if we are on time, this resets the "late" counter and keeps the
       # absent counter
       UpperCamelCase       			=		_calculate(days - 1		,   UpperCAmelCase_		,   0					)

       UpperCamelCase       			=		state_late + state_absent + state_ontime

       UpperCamelCase       			=		prizestrings
       return prizestrings



def 						lowerCamelCase__      (				UpperCAmelCase_ = 30					)->				int:







       """simple docstring"""
       return _calculate(UpperCAmelCase_		,   absent=0		,   late=0					)


if __name__ == "__main__":
      print(solution())





